Test langchain agent

langchain_agent.py

@@ -1,7 +1,16 @@
+import os
+from dotenv import load_dotenv
+from gradio.external import load_blocks_from_huggingface
 from langchain.agents import create_agent
+from langchain_community.tools.ddg_search.tool import DuckDuckGoSearchResults
 from langgraph.checkpoint.memory import InMemorySaver
 from langchain_community.tools import DuckDuckGoSearchRun
+from google.ai.generativelanguage_v1beta.types import Tool as GenAITool
+from langchain.messages import HumanMessage, AIMessage, SystemMessage
+from numpy import load
 
+load_dotenv()
+os.environ["GOOGLE_API_KEY"] = os.getenv("GEMINI_API_KEY")
 
 system_prompt = """finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER].
 YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
@@ -11,8 +20,15 @@ If you are asked for a comma separated list, apply the above rules depending of
 
 
 agent = create_agent(
-    model="google-genai:gemini-2.5-flash",
+    model="google_genai:gemini-2.5-flash",
     tools=[DuckDuckGoSearchRun()],
     system_prompt=system_prompt,
     checkpointer=InMemorySaver(),
 )
+
+response = agent.invoke(
+    {"messages": [{"role": "user", "content": "what is the weather in sf"}]},
+    {"configurable": {"thread_id": "1"}},
+)
+
+print(response)

requirements.txt

@@ -16,3 +16,4 @@ langchain
 langchain-google-genai
 duckduckgo-search
 langchain-community
+python-dotenv